Robust Faster-than-Nyquist PDM-mQAM Systems with Tomlinson-Harashima Precoding
A training-based channel estimation algorithm is proposed for the faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima precoding (THP). This is robust to the convergence failure phenomenon suffered by the existing algorithm, yet remaining format-transparent. Simulation resul...
Saved in:
Published in | arXiv.org |
---|---|
Main Authors | , , , , , |
Format | Paper Journal Article |
Language | English |
Published |
Ithaca
Cornell University Library, arXiv.org
04.01.2018
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | A training-based channel estimation algorithm is proposed for the faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima precoding (THP). This is robust to the convergence failure phenomenon suffered by the existing algorithm, yet remaining format-transparent. Simulation results show that the proposed algorithm requires a reduced optical signal-to-noise ratio (OSNR) to achieve a certain bit error rate (BER) in the presence of first-order polarization mode dispersion and phase noise introduced by the laser linewidth. |
---|---|
AbstractList | A training-based channel estimation algorithm is proposed for the
faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima
precoding (THP). This is robust to the convergence failure phenomenon suffered
by the existing algorithm, yet remaining format-transparent. Simulation results
show that the proposed algorithm requires a reduced optical signal-to-noise
ratio (OSNR) to achieve a certain bit error rate (BER) in the presence of
first-order polarization mode dispersion and phase noise introduced by the
laser linewidth. A training-based channel estimation algorithm is proposed for the faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima precoding (THP). This is robust to the convergence failure phenomenon suffered by the existing algorithm, yet remaining format-transparent. Simulation results show that the proposed algorithm requires a reduced optical signal-to-noise ratio (OSNR) to achieve a certain bit error rate (BER) in the presence of first-order polarization mode dispersion and phase noise introduced by the laser linewidth. |
Author | Dobre, Octavia A Chang, Deyuan Lin, Xiang Ramachandran Venkatesan Omomukuyo, Oluyemi Zhang, Shu |
Author_xml | – sequence: 1 givenname: Deyuan surname: Chang fullname: Chang, Deyuan – sequence: 2 givenname: Oluyemi surname: Omomukuyo fullname: Omomukuyo, Oluyemi – sequence: 3 givenname: Xiang surname: Lin fullname: Lin, Xiang – sequence: 4 givenname: Shu surname: Zhang fullname: Zhang, Shu – sequence: 5 givenname: Octavia surname: Dobre middlename: A fullname: Dobre, Octavia A – sequence: 6 fullname: Ramachandran Venkatesan |
BackLink | https://doi.org/10.48550/arXiv.1801.01433$$DView paper in arXiv https://doi.org/10.1109/LPT.2016.2573740$$DView published paper (Access to full text may be restricted) |
BookMark | eNotj11PwjAYhRujiYj8AK9c4nWx3-0uCYqYAKLufum26kZYC-2m8u-t4NWbnPfJyXmuwLl11gBwg9GYKc7RvfY_zdcYK4THCDNKz8CAUIqhYoRcglEIG4QQEZJwTgdg9eaKPnTJTIfOeNjV2sLVYd83MVs_LGH7Olkm74f4bEPy3XR1krl229jgLJxrr0PdtDpZe1O6qrGf1-DiQ2-DGf3fIchmj9l0DhcvT8_TyQJqTjDENGVGaSKZMESVtEoLQwoqDTMpK5gQpipldKFlpbRMpSkpr5QRnArBIkiH4PZUe5TNdz6O8If8Tzo_Skfi7kTsvNv3JnT5xvXexk05QRLjNNZj-gs7Nlrc |
ContentType | Paper Journal Article |
Copyright | 2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://arxiv.org/licenses/nonexclusive-distrib/1.0 |
Copyright_xml | – notice: 2018. This work is published under http://arxiv.org/licenses/nonexclusive-distrib/1.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: http://arxiv.org/licenses/nonexclusive-distrib/1.0 |
DBID | 8FE 8FG ABJCF ABUWG AFKRA AZQEC BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S PIMPY PQEST PQQKQ PQUKI PRINS PTHSS GOX |
DOI | 10.48550/arxiv.1801.01433 |
DatabaseName | ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest Central UK/Ireland ProQuest Central Essentials AUTh Library subscriptions: ProQuest Central Technology Collection ProQuest One Community College ProQuest Central SciTech Premium Collection (Proquest) (PQ_SDU_P3) ProQuest Engineering Collection ProQuest Engineering Database Access via ProQuest (Open Access) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Academic ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection arXiv.org |
DatabaseTitle | Publicly Available Content Database Engineering Database Technology Collection ProQuest Central Essentials ProQuest One Academic Eastern Edition ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea Materials Science & Engineering Collection ProQuest One Academic Engineering Collection |
DatabaseTitleList | Publicly Available Content Database |
Database_xml | – sequence: 1 dbid: GOX name: arXiv.org url: http://arxiv.org/find sourceTypes: Open Access Repository – sequence: 2 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Physics |
EISSN | 2331-8422 |
ExternalDocumentID | 1801_01433 |
Genre | Working Paper/Pre-Print |
GroupedDBID | 8FE 8FG ABJCF ABUWG AFKRA ALMA_UNASSIGNED_HOLDINGS AZQEC BENPR BGLVJ CCPQU DWQXO FRJ HCIFZ L6V M7S M~E PIMPY PQEST PQQKQ PQUKI PRINS PTHSS GOX |
ID | FETCH-LOGICAL-a521-1394e8a2746e28c3d9be2b37e4e94b466edc75503cd8a797ec35d8e6536642b33 |
IEDL.DBID | GOX |
IngestDate | Mon Jan 08 05:39:07 EST 2024 Thu Oct 10 18:31:22 EDT 2024 |
IsDoiOpenAccess | true |
IsOpenAccess | true |
IsPeerReviewed | false |
IsScholarly | false |
Language | English |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-a521-1394e8a2746e28c3d9be2b37e4e94b466edc75503cd8a797ec35d8e6536642b33 |
OpenAccessLink | https://arxiv.org/abs/1801.01433 |
PQID | 2071195501 |
PQPubID | 2050157 |
ParticipantIDs | arxiv_primary_1801_01433 proquest_journals_2071195501 |
PublicationCentury | 2000 |
PublicationDate | 20180104 2018-01-04 |
PublicationDateYYYYMMDD | 2018-01-04 |
PublicationDate_xml | – month: 01 year: 2018 text: 20180104 day: 04 |
PublicationDecade | 2010 |
PublicationPlace | Ithaca |
PublicationPlace_xml | – name: Ithaca |
PublicationTitle | arXiv.org |
PublicationYear | 2018 |
Publisher | Cornell University Library, arXiv.org |
Publisher_xml | – name: Cornell University Library, arXiv.org |
SSID | ssj0002672553 |
Score | 1.6849902 |
SecondaryResourceType | preprint |
Snippet | A training-based channel estimation algorithm is proposed for the faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima precoding... A training-based channel estimation algorithm is proposed for the faster-than-Nyquist PDM-mQAM (m = 4, 16, 64) systems with Tomlinson-Harashima precoding... |
SourceID | arxiv proquest |
SourceType | Open Access Repository Aggregation Database |
SubjectTerms | Algorithms Bit error rate Computer simulation Optical communication Polarization mode dispersion |
SummonAdditionalLinks | – databaseName: ProQuest Technology Collection dbid: 8FG link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1NS8NAEF20RfDmJ61WycHrarO72Y-TiBqL0FKlQm9hd7MBwTZt0or-e3fWVA-ClxyS086EmTdvZ94gdCE4N5rIGBeaO-wROMOakMI_cmG5YpIUMCg8HPHBC3ucJtOGcKubtspNTAyBOi8tcOTAhIA6WdKPrxdLDFuj4Ha1WaGxjdoxEQJaumT68MOxEC48Yqbfl5lBuutKVx-v75exBKlODxWox6Th1Z9QHPJLuofaY71w1T7acvMDtBPaMm19iEbPpVnXqyjVoGeAgebGo8_l2vsmGt8N8ezpZhg1ouMRUKrRpJy9hYEuPNAVLEqa6WgMVS_kqCM0Se8ntwPcbEDA2qdV7NEZc1L7wpE7Ii3NlXHEUOGYU8wwzl1uhT8VtbnUQglnaZJLxxPKfVlhKD1GrXk5dx0UcZYXNCYuFqJgMK3ad1QbpRLrM7SStIs6wQ7Z4lvkIgMTZcFEXdTbmCZrfvA6-3XHyf-fT9GuxxgysBash1qrau3OfB5fmfPgrC9sEJs8 priority: 102 providerName: ProQuest |
Title | Robust Faster-than-Nyquist PDM-mQAM Systems with Tomlinson-Harashima Precoding |
URI | https://www.proquest.com/docview/2071195501 https://arxiv.org/abs/1801.01433 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwdV3PS8MwGP3Y5sWLKCqbzpGD16BNsvw4Tl03hNY5JuxWkjYFwW26H6IX_3aTtOJBvORQUkpeQt_7vuR7AbgUnBtNZIRLzS12CpxhTUjpmkLkXDFJSl8onKR8_MTu5_15A9BPLYxefzy_V_7AZnMVSW-p6SidNqFJiD-yNXqYV5uTwYqr7v_bz2nM8OjPrzXwRXwIB7XQQ4NqZo6gYZfHkE5XZrfZolh7fwLs09Y4_XzbOazR5C7Bi8dBgmoTceRTpGi2WryEAi081mt_8dFCo4mPYj3nnMAsHs5ux7i-0QBrR5PYqS1mpXaBILdE5rRQxhJDhWVWMcM4t0Uu3KhoXkgtlLA57RfS8j7lLkwwlJ5Ca7la2jYgzoqSRsRGQpTMV59eW6qNUv3cMa6StAPtgEP2WplWZB6iLEDUge4PNFm9YDcZcVIjUu7b0dn_b57DvtMLMmQgWBda2_XOXjhO3poeNGU86sHezTCdTHthmlybfA2_AZeljks |
link.rule.ids | 228,230,783,787,888,12778,21401,27938,33386,33757,43613,43818 |
linkProvider | Cornell University |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV09T8MwELWgFYKNT7VQIAOroYkd25kQH60CNFGogtQtsh1HQqJNm7QI_j22SWFAYsngTL6z7t49-94BcEEJEdxjLiw4UVAjcAy55xX6k1NJAsy8wjQKRzEJX_DjxJ80hFvdPKtcx0QbqPNSGo7cMCFGnczvu9fzBTRTo8ztajNCYxO0jVQVa4H27SBOxj8si0eoxszo-zrTindd8erj9f3SZUasU4MFpFGpXfoTjG2GGe6CdsLnqtoDG2q2D7bsw0xZH4B4XIpVvXSG3CgaQEN0w_hzsdLecZL7CE6fbyKnkR13DKnqpOX0zbZ0wZBXZlTSlDuJqXtNljoE6XCQ3oWwmYEAuU6sUOMzrBjXpSNRHpMoD4TyBKIKqwALTIjKJdW7QjJnnAZUSeTnTBEfEV1YCISOQGtWzlQHOATnBXI95VJaYNOv2leIiyDwpc7RAUNd0LF2yObfMheZMVFmTdQFvbVpsuaI19mvQ47__30OtsM0GmWjh_jpBOxoxMEsh4F7oLWsVupUZ_WlOGtc9wWTgZ-N |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Robust+Faster-than-Nyquist+PDM-mQAM+Systems+with+Tomlinson-Harashima+Precoding&rft.jtitle=arXiv.org&rft.au=Chang%2C+Deyuan&rft.au=Omomukuyo%2C+Oluyemi&rft.au=Lin%2C+Xiang&rft.au=Zhang%2C+Shu&rft.date=2018-01-04&rft.pub=Cornell+University+Library%2C+arXiv.org&rft.eissn=2331-8422&rft_id=info:doi/10.48550%2Farxiv.1801.01433 |